The official repository with Pytorch
*Our method can realize arbitrary face swapping on images and videos with one single trained model.*
Currently, only the test code is available. Training scripts are coming soon
Our paper can be downloaded from [Arxiv] [ACM DOI]
2021-06-20
: We release the scripts for arbitrary video and image processing, and a colab demo.
Inference for image or video face swapping
Training: coming soon
High-quality videos can be found in the link below:
[Google Drive link for video 1]
[Google Drive link for video 2]
[Google Drive link for video 3]
[Baidu Drive link for video] Password: b26n
@inproceedings{DBLP:conf/mm/ChenCNG20,
author = {Renwang Chen and
Xuanhong Chen and
Bingbing Ni and
Yanhao Ge},
title = {SimSwap: An Efficient Framework For High Fidelity Face Swapping},
booktitle = {{MM} '20: The 28th {ACM} International Conference on Multimedia},
pages = {2003--2011},
publisher = {{ACM}},
year = {2020},
url = {https://doi.org/10.1145/3394171.3413630},
doi = {10.1145/3394171.3413630},
timestamp = {Thu, 15 Oct 2020 16:32:08 +0200},
biburl = {https://dblp.org/rec/conf/mm/ChenCNG20.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Please visit our another ACMMM2020 high-quality style transfer project
Learn about our other projects [RainNet];